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Journal of the ACM (JACM)
Logic based modeling and analysis of workflows
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Event-based detection of concurrency
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Software process validation: quantitatively measuring the correspondence of a process to a model
ACM Transactions on Software Engineering and Methodology (TOSEM)
Mining features for sequence classification
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Small is beautiful: discovering the minimal set of unexpected patterns
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FreeSpan: frequent pattern-projected sequential pattern mining
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Feature selection in unsupervised learning via evolutionary search
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Atomicity and isolation for transactional processes
ACM Transactions on Database Systems (TODS)
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Inheritance of workflows: an approach to tackling problems related to change
Theoretical Computer Science
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
A Scalable Algorithm for Clustering Sequential Data
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Discovering Workflow Performance Models from Timed Logs
EDCIS '02 Proceedings of the First International Conference on Engineering and Deployment of Cooperative Information Systems
An Alternative Way to Analyze Workflow Graphs
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Handbook of data mining and knowledge discovery
Integrating Light-Weight Workflow Management Systems within Existing Business Environments
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Mining and Reasoning on Workflows
IEEE Transactions on Knowledge and Data Engineering
Discovering Expressive Process Models by Clustering Log Traces
IEEE Transactions on Knowledge and Data Engineering
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
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VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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BPM'03 Proceedings of the 2003 international conference on Business process management
Mining hierarchies of models: from abstract views to concrete specifications
BPM'05 Proceedings of the 3rd international conference on Business Process Management
The prom framework: a new era in process mining tool support
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Conformance testing: measuring the fit and appropriateness of event logs and process models
BPM'05 Proceedings of the Third international conference on Business Process Management
Discovering Expressive Process Models by Clustering Log Traces
IEEE Transactions on Knowledge and Data Engineering
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Mining taxonomies of process models
Data & Knowledge Engineering
Message Correlation and Business Protocol Discovery in Service Interaction Logs
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
A Grid-Based Multi-relational Approach to Process Mining
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Towards comprehensive support for organizational mining
Decision Support Systems
A First Study on Clustering Collections of Workflow Graphs
Provenance and Annotation of Data and Processes
Using minimum description length for process mining
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Transactions on Petri Nets and Other Models of Concurrency II
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Constraint acquisition for Entity-Relationship models
Data & Knowledge Engineering
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IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Declarative specification and verification of service choreographiess
ACM Transactions on the Web (TWEB)
Outlier detection techniques for process mining applications
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
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BPM'07 Proceedings of the 5th international conference on Business process management
Applying inductive logic programming to process mining
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
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BPM'07 Proceedings of the 2007 international conference on Business process management
Mining process models with prime invisible tasks
Data & Knowledge Engineering
A fresh look at precision in process conformance
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Probabilistic declarative process mining
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Process compliance analysis based on behavioural profiles
Information Systems
Conformance checking of interacting processes with overlapping instances
BPM'11 Proceedings of the 9th international conference on Business process management
A new method for business process mining based on state equation
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
Process diagnostics using trace alignment: Opportunities, issues, and challenges
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Projection approaches to process mining using region-based techniques
Data Mining and Knowledge Discovery
Constructing workflow clusters based on appropriateness conformance checker
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
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ACM Transactions on Management Information Systems (TMIS)
Mining usage patterns from a repository of scientific workflows
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A Study of Quality and Accuracy Trade-offs in Process Mining
INFORMS Journal on Computing
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Replaying history on process models for conformance checking and performance analysis
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Causal Behavioural Profiles - Efficient Computation, Applications, and Evaluation
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ICSOC'11 Proceedings of the 2011 international conference on Service-Oriented Computing
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Aligning event logs and declarative process models for conformance checking
BPM'12 Proceedings of the 10th international conference on Business Process Management
A comparative study of dimensionality reduction techniques to enhance trace clustering performances
Expert Systems with Applications: An International Journal
Multidimensional process mining: a flexible analysis approach for health services research
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Context-Aware predictions on business processes: an ensemble-based solution
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
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Application of tree-structured data mining for analysis of process logs in XML format
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Slice, mine and dice: complexity-aware automated discovery of business process models
BPM'13 Proceedings of the 11th international conference on Business Process Management
Service Oriented Computing and Applications
Retrieval and clustering for supporting business process adjustment and analysis
Information Systems
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Process mining techniques have recently received notable attention in the literature for their ability to assist in the (re)design of complex processes by automatically discovering models that explain the events registered in some log traces provided as input. Following this line of research, the paper investigates an extension of such basic approaches, where the identification of different variants for the process is explicitly accounted for, based on the clustering of log traces. Indeed, modeling each group of similar executions with a different schema allows us to single out "conformant” models, which, specifically, minimize the number of modeled enactments that are extraneous to the process semantics. Therefore, a novel process mining framework is introduced and some relevant computational issues are deeply studied. As finding an exact solution to such an enhanced process mining problem is proven to require high computational costs, in most practical cases, a greedy approach is devised. This is founded on an iterative, hierarchical, refinement of the process model, where, at each step, traces sharing similar behavior patterns are clustered together and equipped with a specialized schema. The algorithm guarantees that each refinement leads to an increasingly sound model, thus attaining a monotonic search. Experimental results evidence the validity of the approach with respect to both effectiveness and scalability.